Energy-aware Scheduling for Infrastructure Clouds

Research output: Contribution to conferencesPaperContributedpeer-review

Contributors

Abstract

More and more data centers are built, consuming ever more kilo watts of energy. Over the years, energy has become a dominant cost factor for data center operators. Utilizing low-power idle modes is an immediate remedy to reduce data center power consumption. We use simulation to quantify the difference in energy consumption caused exclusively by virtual machine schedulers. Besides demonstrating the inefficiency of wide-spread default schedulers, we present our own optimized scheduler. Using a range of realistic simulation scenarios, our customized scheduler OptSched reduces cumulative machine uptime by up to 60.1%. We evaluate the effect of data center composition, run time distribution, virtual machine sizes, and batch requests on cumulative machine uptime. IaaS administrators can use our results to quickly assess possible reductions in machine uptime and, hence, untapped energy saving potential.

Details

Original languageEnglish
Number of pages9
Publication statusPublished - 2012
Peer-reviewedYes

Conference

Title4th IEEE International Conference on Cloud Computing Technology and Science
Abbreviated titleCloudCom 2012
Conference number4
Duration3 - 6 December 2012
Website
Degree of recognitionInternational event
CityTaipei
CountryTaiwan, Province of China

External IDs

Scopus 84874268757

Keywords

Research priority areas of TU Dresden

DFG Classification of Subject Areas according to Review Boards

Sustainable Development Goals